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Acta Aeronautica et Astronautica Sinica ›› 2023, Vol. 44 ›› Issue (22): 128522-128522.doi: 10.7527/S1000-6893.2023.28522

• Fluid Mechanics and Flight Mechanics • Previous Articles     Next Articles

Selection method of measuring parameters for rocket engine based on fault recognition

Xiaopu ZHANG(), Feng REN, Pengli XU, Zhimin LI, Caihong SU   

  1. Shanghai Aerospace System Engineering Institute,Shanghai 201109,China
  • Received:2023-02-02 Revised:2023-03-13 Accepted:2023-04-21 Online:2023-06-29 Published:2023-06-27
  • Contact: Xiaopu ZHANG E-mail:earoke@163.com

Abstract:

To address the problem of measuring parameters selection of liquid rocket engines, we propose a model-based method to improve fault recognition and system reliability. The nonlinear and static mathematical model of the engine system is built, the fault feature list metrics of fault recognition, robustness and system reliability of the engine measurement feature subset are then established respectively, and the optimization design is proposed based on the improved multi-objective binary particle swarm optimization (MOBPSO). With the optimized measuring parameters, the number of distinguishable faults has increased from 9 to 13, the robustness is equivalent to the original layout, and the risk criterion has increased slightly. The important role of the subsystem mixture ratio in fault recognition is further explored and its mechanism analyzed. The method proposed in this paper has a good application value for the selection of measurement characteristics of other complex, closed-loop dynamic systems.

Key words: liquid rocket engine, model-based method, measuring parameters selection, particle swarm optimization, agglomerative hierarchical clustering, principal component analysis

CLC Number: